AIMC Topic: Shoes

Clear Filters Showing 1 to 10 of 35 articles

Parametric cushioning lattice insole based on finite element method and machine learning: A preliminary computational analysis.

Journal of biomechanics Apr 1, 2025
The cushioning performance of insole has always been a critical consideration in its design. While the development of intelligent methods and the emergence of additive manufacturing (AM) technology have enhanced design freedom and convenience, a stan...
Foot Finite Element Analysis Foot Orthoses Shoes Biomechanical Phenomena Equipment Design Pressure Machine Learning Computer Simulation Humans
View on PubMed DOI

A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things.

PloS one Feb 3, 2025
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monitoring the health of workers, patients and others in different environments, antenna play a pivotal role in such wearables. In this communication, a no...
Internet of Things Horses Wireless Technology Humans Animals Shoes Machine Learning Wearable Electronic Devices Algorithms Equipment Design
View on PubMed DOI

Leather-Based Shoe Soles for Real-Time Gait Recognition and Automatic Remote Assistance Using Machine Learning.

ACS applied materials & interfaces Nov 1, 2024
Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patient rehabilitation feedback, and telemedicine. However, the effective and stable acquisition and automatic analysis of gait information remain signific...
Female Adult Male Humans Machine Learning Graphite Nanotubes, Carbon Collagen Shoes Middle Aged Wearable Electronic Devices Gait
View on PubMed DOI

Multi-Activity Step Counting Algorithm Using Deep Learning Foot Flat Detection with an IMU Inside the Sole of a Shoe.

Sensors (Basel, Switzerland) Oct 29, 2024
Step counting devices were previously shown to be efficient in a variety of applications such as athletic training or patient's care programs. Various sensor placements and algorithms were previously experimented, with a best mean absolute percentage...
Shoes Male Middle Aged Deep Learning Accelerometry Foot Female Walking Young Adult Running Adult Humans Algorithms
View on PubMed DOI

Deep self-organizing map neural networks improve the segmentation for inadequate plantar pressure imaging data set.

Network (Bristol, England) Oct 14, 2024
This study introduces a deep self-organizing map neural network based on level-set (LS-SOM) for the customization of a shoe-last defined from plantar pressure imaging data. To alleviate the over-segmentation problem of images, which refers to segment...
Image Processing, Computer-Assisted Pressure Foot Shoes Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Classification of 3D shoe prints using the PointNet architecture: proof of concept investigation of binary classification of nike and adidas outsoles.

Forensic science, medicine, and pathology Sep 5, 2024
Shoe prints are one of the most common types of evidence found at crime scenes, second only to fingerprints. However, studies involving modern approaches such as machine learning and deep learning for the detection and analysis of shoe prints are qui...
Shoes Humans Proof of Concept Study Forensic Sciences Deep Learning Printing, Three-Dimensional
View on PubMed DOI

Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles.

Sensors (Basel, Switzerland) Aug 16, 2024
The three Ground Reaction Force (GRF) components can be estimated using pressure insole sensors. In this paper, we compare the accuracy of estimating GRF components for both feet using six methods: three Deep Learning (DL) methods (Artificial Neural ...
Humans Young Adult Adult Neural Networks, Computer Female Foot Shoes Walking Supervised Machine Learning Pressure Biomechanical Phenomena Male Deep Learning
View on PubMed DOI

Calibrating Low-Cost Smart Insole Sensors with Recurrent Neural Networks for Accurate Prediction of Center of Pressure.

Sensors (Basel, Switzerland) Jul 23, 2024
This paper proposes a scheme for predicting ground reaction force (GRF) and center of pressure (CoP) using low-cost FSR sensors. GRF and CoP data are commonly collected from smart insoles to analyze the wearer's gait and diagnose balance issues. This...
Pressure Shoes Male Gait Calibration Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Predicting Musculoskeletal Loading at Common Running Injury Locations Using Machine Learning and Instrumented Insoles.

Medicine and science in sports and exercise Jun 6, 2024
INTRODUCTION: Wearables have the potential to provide accurate estimates of tissue loads at common running injury locations. Here we investigate the accuracy by which commercially available instrumented insoles (ARION; ATO-GEAR, Eindhoven, The Nether...
Male Wearable Electronic Devices Running Achilles Tendon Young Adult Humans Shoes Weight-Bearing Machine Learning Tibia Neural Networks, Computer Athletic Injuries Female Foot Orthoses Patellofemoral Joint Adult Biomechanical Phenomena
View on PubMed DOI

Machine learning prediction of footwear slip resistance on glycerol-contaminated surfaces: A pilot study.

Applied ergonomics Feb 17, 2024
Slippery surfaces due to oil spills pose a significant risk in various environments, including industrial workplaces, kitchens, garages, and outdoor areas. These situations can lead to accidents and falls, resulting in injuries that range from minor ...
Floors and Floorcoverings Friction Shoes Pilot Projects Humans Equipment Design Artificial Intelligence Glycerol Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals